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Let's browse: a collaborative Web browsing agent

Authors:

Henry Lieberman,

Neil W. Van Dyke,

Adrian S. VivacquaAuthors Info & Claims

IUI '99: Proceedings of the 4th international conference on Intelligent user interfaces

Pages 65 - 68

https://doi.org/10.1145/291080.291092

Published: 01 December 1998 Publication History

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References

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Cited By

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Kumar CChowdary CMeena A(2024)Recent trends in recommender systems: a surveyInternational Journal of Multimedia Information Retrieval10.1007/s13735-024-00349-113:4Online publication date: 10-Oct-2024
https://doi.org/10.1007/s13735-024-00349-1
Tran TFelfernig ALe V(2023)An overview of consensus models for group decision-making and group recommender systemsUser Modeling and User-Adapted Interaction10.1007/s11257-023-09380-z34:3(489-547)Online publication date: 22-Sep-2023
https://doi.org/10.1007/s11257-023-09380-z
Felfernig ATintarev NTrang Tran TStettinger M(2023)Explanations for GroupsGroup Recommender Systems10.1007/978-3-031-44943-7_6(109-131)Online publication date: 23-Sep-2023
https://doi.org/10.1007/978-3-031-44943-7_6
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Index Terms

Let's browse: a collaborative Web browsing agent
1. Human-centered computing
  1. Collaborative and social computing
  2. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Web-based interaction
2. Information systems
  1. World Wide Web
    1. Web applications
    2. Web services

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Published In

IUI '99: Proceedings of the 4th international conference on Intelligent user interfaces

December 1998

205 pages

ISBN:1581130988

DOI:10.1145/291080

Chairmen:
Mark Maybury
MITRE Corp.
,
Pedro Szekely
USC/ISI
,
Christoph G. Thomas
GMD, Germany

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 December 1998

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IUI99

Sponsor:

IUI99: Intelligent User Interfaces

January 5 - 8, 1999

California, Los Angeles, USA

Acceptance Rates

IUI '99 Paper Acceptance Rate 21 of 70 submissions, 30%;

Overall Acceptance Rate 746 of 2,811 submissions, 27%

Upcoming Conference

IUI '25

Sponsor:
sigai
sigai

30th International Conference on Intelligent User Interfaces

March 24 - 27, 2025

Cagliari , Italy

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Cited By

View all

Kumar CChowdary CMeena A(2024)Recent trends in recommender systems: a surveyInternational Journal of Multimedia Information Retrieval10.1007/s13735-024-00349-113:4Online publication date: 10-Oct-2024
https://doi.org/10.1007/s13735-024-00349-1
Tran TFelfernig ALe V(2023)An overview of consensus models for group decision-making and group recommender systemsUser Modeling and User-Adapted Interaction10.1007/s11257-023-09380-z34:3(489-547)Online publication date: 22-Sep-2023
https://doi.org/10.1007/s11257-023-09380-z
Felfernig ATintarev NTrang Tran TStettinger M(2023)Explanations for GroupsGroup Recommender Systems10.1007/978-3-031-44943-7_6(109-131)Online publication date: 23-Sep-2023
https://doi.org/10.1007/978-3-031-44943-7_6
Felfernig AAtas MStettinger MTran TReiterer S(2023)Group Recommender ApplicationsGroup Recommender Systems10.1007/978-3-031-44943-7_4(79-94)Online publication date: 23-Sep-2023
https://doi.org/10.1007/978-3-031-44943-7_4
Alvarado OHtun NJin YVerbert K(2022)A Systematic Review of Interaction Design Strategies for Group Recommendation SystemsProceedings of the ACM on Human-Computer Interaction10.1145/35551616:CSCW2(1-51)Online publication date: 11-Nov-2022
https://dl.acm.org/doi/10.1145/3555161
Yannam VKumar JBabu KPatra B(2022)Enhancing the accuracy of group recommendation using slope oneThe Journal of Supercomputing10.1007/s11227-022-04664-479:1(499-540)Online publication date: 11-Jul-2022
https://doi.org/10.1007/s11227-022-04664-4
Kumar CChowdary C(2022)A study on the role of uninterested items in group recommendationsElectronic Commerce Research10.1007/s10660-021-09526-423:4(2073-2099)Online publication date: 17-Jan-2022
https://doi.org/10.1007/s10660-021-09526-4
Jiang LWang YXie SWu JYin MWang J(2022)Which courses to choose? recommending courses to groups of students in online tutoring platformsApplied Intelligence10.1007/s10489-022-03993-453:10(11727-11736)Online publication date: 10-Sep-2022
https://doi.org/10.1007/s10489-022-03993-4
Atas MFelfernig APolat-Erdeniz SPopescu ATran TUta M(2021)Towards psychology-aware preference construction in recommender systems: Overview and research issuesJournal of Intelligent Information Systems10.1007/s10844-021-00674-557:3(467-489)Online publication date: 1-Dec-2021
https://dl.acm.org/doi/10.1007/s10844-021-00674-5
Choudhary NBharadwaj K(2019)Multi-criteria Group Recommender System Based on Analytical Hierarchy ProcessSmart Systems and IoT: Innovations in Computing10.1007/978-981-13-8406-6_8(75-84)Online publication date: 27-Oct-2019
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